TWO-STAGE OPTIMAL CONFIGURATION OF MICROGRID BASED ON FUZZY SCENE CLUSTERING

被引：0

作者：

Mi Y. ^{[1
]}

Li H. ^{[1
]}

Chen B. ^{[1
]}

Peng J. ^{[1
]}

Wei W. ^{[2
]}

Yao Y. ^{[3
]}

机构：

[1] College of Electrical Engineering, Shanghai University of Electric Power, Shanghai

[2] School of Electrical and Information Engineering, Tianjin University, Tianjin

[3] Ningbo Electric Power Design Institute, Zhejiang, Ningbo

来源：

Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University | 2023年 / 57卷 / 09期

关键词：

fuzzy scenario clustering; microgrid; optimal configuration; robust optimization;

D O I：

10.16183/j.cnki.jsjtu.2022.090

中图分类号：

学科分类号：

摘要：

Aimed at the impact of extreme weather on the stable operation of microgrid, an optimal configuration strategy of microgrid based on fuzzy scene clustering is proposed. Using historical weather data, a fuzzy scene clustering method is used to deal with the problem of new energy output fluctuations caused by random weather on the source side, and a robust optimization model is established on the load side to deal with load fluctuations within a certain range. Using scenes of 8 760 hours in a year, typical scenes and extreme scenes are obtained by distinguishing the unique membership characteristics of fuzzy scene clusters. Considering the impact of extreme scenarios on the optimal configuration of the microgrid, a two-stage robust model with the smallest comprehensive cost is established, which is decomposed by the column and constraint method, and is finally solved iteratively by Cplex solver. The effectiveness and feasibility of the proposed optimal configuration strategy are verified by simulation analysis. © 2023 Shanghai Jiao Tong University. All rights reserved.

引用

页码：1137 / 1145

页数：8

共 20 条

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